Saif M. Mohammad

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	总计	2020 年至今
引用	25785	16068
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i10 指数	108	98

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Svetlana KiritchenkoNational Research Council Canada在 nrc-cnrc.gc.ca 的电子邮件经过验证
Xiaodan ZhuECE & Ingenuity Labs Research Institute, Queen's University, Canada在 queensu.ca 的电子邮件经过验证
Peter TurneyApperceptual.com在 apperceptual.com 的电子邮件经过验证
Graeme HirstProfessor of Computer Science, University of Toronto在 cs.toronto.edu 的电子邮件经过验证
Bonnie DorrUniversity of Florida, IHMC, UMD在 ufl.edu 的电子邮件经过验证
Felipe Bravo-MarquezAssociate Professor, University of Chile在 dcc.uchile.cl 的电子邮件经过验证
Mohammad SalamehPrincipal Researcher, Huawei Technologies在 ualberta.ca 的电子邮件经过验证
Colin CherryGoogle Research在 google.com 的电子邮件经过验证
Parinaz Sobhani在 uottawa.ca 的电子邮件经过验证
Preslav NakovMohamed bin Zayed University of Artificial Intelligence (MBZUAI)在 mbzuai.ac.ae 的电子邮件经过验证
Sara RosenthalIBM Research在 cs.columbia.edu 的电子邮件经过验证
Jan Philip WahleUniversity of Göttingen (Prev: NRC Canada)在 uni-goettingen.de 的电子邮件经过验证
Terry RuasUniversity of Göttingen (Prev: Uni. of Michigan, NII Tokyo, Uni. of Wuppertal, UFABC)在 uni-goettingen.de 的电子邮件经过验证
Mohamed AbdallaUniversity of Alberta在 ualberta.ca 的电子邮件经过验证
Ekaterina ShutovaILLC, University of Amsterdam在 berkeley.edu 的电子邮件经过验证
Krishnapriya VishnubhotlaUniversity of Toronto在 cs.toronto.edu 的电子邮件经过验证
Joel MartinNational Research Council在 nrc-cnrc.gc.ca 的电子邮件经过验证
Vahed QazvinianPraisidio; Google; University of Michigan, Ann Arbor在 google.com 的电子邮件经过验证
Dragomir RadevProfessor, Computer Science, Yale University在 yale.edu 的电子邮件经过验证
Bela GippProfessor at the University of Göttingen & Director of Research at the SUB Göttingen在 uni-goettingen.de 的电子邮件经过验证

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Saif M. Mohammad

Principal Research Scientist (NLP,Computational Affective Science), National Research Council Canada

在 nrc-cnrc.gc.ca 的电子邮件经过验证 - 首页

Natural Language Processing Lexical Semantics Affective Science Emotion Recognition Sentiment


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Crowdsourcing a word–emotion association lexicon SM Mohammad, PD Turney Computational intelligence 29 (3), 436-465, 2013	3069	2013
SemEval-2015 Task 10: Sentiment Analysis in Twitter VS Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif M. Mohammad ... arXiv:1912.02387, https://www.aclweb.org/anthology/S15-207, 2015	1884*	2015
Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon S Mohammad, P Turney Proceedings of the NAACL HLT 2010 workshop on computational approaches to …, 2010	1431	2010
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets SM Mohammad, S Kiritchenko, X Zhu SemEval-2013, 2013	1378	2013
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	1291	2022
Sentiment analysis of short informal texts S Kiritchenko, X Zhu, SM Mohammad Journal of Artificial Intelligence Research 50, 723-762, 2014	1155	2014
Semeval-2016 task 6: Detecting stance in tweets S Mohammad, S Kiritchenko, P Sobhani, X Zhu, C Cherry Proceedings of the 10th international workshop on semantic evaluation …, 2016	1096	2016
Semeval-2018 task 1: Affect in tweets S Mohammad, F Bravo-Marquez, M Salameh, S Kiritchenko Proceedings of the 12th international workshop on semantic evaluation, 1-17, 2018	966	2018
NRC-Canada-2014: Detecting aspects and sentiment in customer reviews S Kiritchenko, X Zhu, C Cherry, S Mohammad Proceedings of the 8th international workshop on semantic evaluation …, 2014	887	2014
Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 English words S Mohammad Proceedings of the 56th annual meeting of the association for computational …, 2018	744	2018
Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad Emotion measurement, 201-237, 2016	622	2016
Stance and sentiment in tweets SM Mohammad, P Sobhani, S Kiritchenko ACM Transactions on Internet Technology (TOIT) 17 (3), 1-23, 2017	616	2017
Examining gender and race bias in two hundred sentiment analysis systems S Kiritchenko, SM Mohammad arXiv preprint arXiv:1805.04508, 2018	557	2018
Using hashtags to capture fine emotion categories from tweets SM Mohammad, S Kiritchenko Computational Intelligence 31 (2), 301-326, 2015	518	2015
NRC Emotion Lexicon SM Mohammad, PD Turney National Research Council, Canada 2, 2013	516	2013
Word affect intensities SM Mohammad arXiv preprint arXiv:1704.08798, 2017	462	2017
From once upon a time to happily ever after: Tracking emotions in mail and books SM Mohammad Decision Support Systems 53 (4), 730-741, 2012	460	2012
WASSA-2017 shared task on emotion intensity SM Mohammad, F Bravo-Marquez arXiv preprint arXiv:1708.03700, 2017	336	2017
Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus S Mohammad, C Dunne, B Dorr Proceedings of the 2009 conference on empirical methods in natural language …, 2009	335	2009
#Emotional Tweets SM Mohammad StarSem, 2012	328	2012

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